Program

Keynote speakers

Jian Pei

Duke University

Data and AI Model Markets: Grand Opportunities for Facilitating Sharing, Discovery, and Integration in Data and AI EconomiesAbstract:Data and AI model sharing has been a long time bottleneck for AI and data economies.  In this talk, I will argue that data and AI model discovery and integration are foundations for effective sharing. I will also revisit why sharing remains a big challenge and why many existing approaches like data warehouses, data lakes, federated databases, and federated learning are still far from enough to solve the problem. Then, I will advocate data and AI markets as a potential grand opportunity for data and AI model sharing at scale, particularly for inter-organization sharing. Using some recent studies I will demonstrate some exciting technical problems in data and AI model markets.  I will also offer my humble views on the future directions on data and AI model markets.
Bio:Jian Pei is a Professor at Duke University, whose research focuses on data science, data mining, database systems, machine learning, and information retrieval. With his expertise in developing effective and efficient data analysis techniques for novel data-intensive applications and transferring them to products and business practice, he has been recognized as a Fellow of the Royal Society of Canada, the Canadian Academy of Engineering, ACM, and IEEE. He received several prestigious awards, such as the 2017 ACM SIGKDD Innovation Award, the 2015 ACM SIGKDD Service Award, and the 2014 IEEE ICDM Research Contributions Award. He has previously served as the chair of ACM SIGKDD and as the Editor-in-Chief of IEEE TKDE.

Julien Adelberger

International Data Spaces Association

Road to interoperability and sovereignty: The benefits of Data Spaces for the Data EconomyBio:Julien Adelberger started working for IDSA in June 2022. He is mainly responsible for IDSA’s contribution to various national research and innovation projects as well as the worldwide outreach of the association. One of these projects is Merlot, the first national educational data space project that aims to ensure that data owners retain sovereignty over their data. The project will facilitatedynamic competition, innovation, and new types of collaborations among education service providers within the data space.To strengthen the global efforts of the IDSA, Julien Adelberger joined the DFFT (data free flow with trust) task force together with Dawex, DSA (Data Society Alliance in Japan), Gaia-X, DLR, Fiware and BDVA to recommend guide lining principles for data sharing to the G7 Digital Ministers. He is furthermore active in regular talks with our Japanese community with the goal to establish a Hub as well as liaisons, research- and competence centers with the private and public sector.Prior to IDSA, he worked at the FernUniversität in Hagen as a research assistant, dealing with the establishment of an East Asian Macroeconomic Research Institute and the organization of international workshops with members from IMF and BIS (Bank of International Settlements).Fascinated by new technological developments, intercultural experiences and working with an international team of colleagues, Julien Adelberger found his way to IDSA due to the future oriented topic of data sharing and digital sovereignty on a global scale.As a background, Julien holds a bachelor’s degree in international business in Dortmund and a bilingual master’s degree in Development Economics and International Studies from the Friedrich Alexander University in Erlangen-Nürnberg. He also studied at the University of Southern Queensland (USQ) Australia during a foreign semester focused on gaining advanced expertise in international relations and economics.